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relation-bert-because
alenatz/relation-bert-because
relation-bert-because is a machine learning model from alenatz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jul 12, 2024
- Updated
- Jul 13, 2024
- SHA
- 6cd56fca
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
relation-bert-because
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1546
- Precision: 0.2346
- Recall: 0.7273
- F1: 0.3548
- Accuracy: 0.9605
- Relation P: 0.2346
- Relation R: 0.7273
- Relation F1: 0.3548
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 4e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Relation P | Relation R | Relation F1 |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.7173 | 0.1242 | 20 | 0.3552 | 0.0577 | 0.4636 | 0.1026 | 0.8295 | 0.0577 | 0.4636 | 0.1026 |
| 0.7173 | 0.2484 | 40 | 0.1944 | 0.1468 | 0.7045 | 0.2429 | 0.9291 | 0.1468 | 0.7045 | 0.2429 |
| 0.7173 | 0.3727 | 60 | 0.1984 | 0.2552 | 0.7318 | 0.3784 | 0.9629 | 0.2552 | 0.7318 | 0.3784 |
| 0.7173 | 0.4969 | 80 | 0.1609 | 0.2241 | 0.7273 | 0.3426 | 0.9566 | 0.2241 | 0.7273 | 0.3426 |
| 0.7173 | 0.6211 | 100 | 0.1379 | 0.1896 | 0.7136 | 0.2996 | 0.9475 | 0.1896 | 0.7136 | 0.2996 |
| 0.7173 | 0.7453 | 120 | 0.1787 | 0.2601 | 0.7318 | 0.3838 | 0.9654 | 0.2601 | 0.7318 | 0.3838 |
| 0.7173 | 0.8696 | 140 | 0.1667 | 0.2453 | 0.7182 | 0.3657 | 0.9631 | 0.2453 | 0.7182 | 0.3657 |
| 0.7173 | 0.9938 | 160 | 0.1547 | 0.2346 | 0.7273 | 0.3548 | 0.9605 | 0.2346 | 0.7273 | 0.3548 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 12, 2024
- Updated
- Jul 13, 2024